In silico simulation of epidermal growth factor signaling in prostate cancer cells

Takashi Nakakuki; Kaori Ide; Noriko Yumoto; Takeshi Nagashima; Mariko Hatakeyama

doi:10.1109/GENSIPS.2007.4365841

In silico simulation of epidermal growth factor signaling in prostate cancer cells

Takashi Nakakuki, Kaori Ide, Noriko Yumoto, Takeshi Nagashima, Mariko Hatakeyama

MED - United Centers for Advanced Research and Translational Medicine (ART)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

The epidermal growth factor receptor (EGFR) and its signaling pathways are closely involved in the development and progression of prostate cancer. To understand the EGF-stimulated signaling pathways in prostate cancer cells, we constructed a mathematical model of EGF receptor signaling in PC3 cells based on the experimental data. The model was described by twenty-seven ordinary differential equations, and all parameters were estimated by genetic algorithm. The validity of the model was confirmed with time-course western blot data, showing that the model could successfully reproduce all experimental results.

Original language	English
Title of host publication	5th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'07
DOIs	https://doi.org/10.1109/GENSIPS.2007.4365841
Publication status	Published - 2007 Dec 1
Event	5th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'07 - Tuusula, Finland Duration: 2007 Jun 10 → 2007 Jun 12

Publication series

Name	GENSIPS'07 - 5th IEEE International Workshop on Genomic Signal Processing and Statistics

Other

Other	5th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'07
Country/Territory	Finland
City	Tuusula
Period	07/6/10 → 07/6/12

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Computer Science Applications
Signal Processing
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/GENSIPS.2007.4365841

Cite this

Nakakuki, T., Ide, K., Yumoto, N., Nagashima, T., & Hatakeyama, M. (2007). In silico simulation of epidermal growth factor signaling in prostate cancer cells. In 5th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'07 [4365841] (GENSIPS'07 - 5th IEEE International Workshop on Genomic Signal Processing and Statistics). https://doi.org/10.1109/GENSIPS.2007.4365841

In silico simulation of epidermal growth factor signaling in prostate cancer cells. / Nakakuki, Takashi; Ide, Kaori; Yumoto, Noriko et al.

5th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'07. 2007. 4365841 (GENSIPS'07 - 5th IEEE International Workshop on Genomic Signal Processing and Statistics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nakakuki, T, Ide, K, Yumoto, N, Nagashima, T & Hatakeyama, M 2007, In silico simulation of epidermal growth factor signaling in prostate cancer cells. in 5th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'07., 4365841, GENSIPS'07 - 5th IEEE International Workshop on Genomic Signal Processing and Statistics, 5th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'07, Tuusula, Finland, 07/6/10. https://doi.org/10.1109/GENSIPS.2007.4365841

Nakakuki T, Ide K, Yumoto N, Nagashima T, Hatakeyama M. In silico simulation of epidermal growth factor signaling in prostate cancer cells. In 5th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'07. 2007. 4365841. (GENSIPS'07 - 5th IEEE International Workshop on Genomic Signal Processing and Statistics). doi: 10.1109/GENSIPS.2007.4365841

@inproceedings{0d8c2882eddc41c19a64b56fb6ceead1,

title = "In silico simulation of epidermal growth factor signaling in prostate cancer cells",

abstract = "The epidermal growth factor receptor (EGFR) and its signaling pathways are closely involved in the development and progression of prostate cancer. To understand the EGF-stimulated signaling pathways in prostate cancer cells, we constructed a mathematical model of EGF receptor signaling in PC3 cells based on the experimental data. The model was described by twenty-seven ordinary differential equations, and all parameters were estimated by genetic algorithm. The validity of the model was confirmed with time-course western blot data, showing that the model could successfully reproduce all experimental results.",

author = "Takashi Nakakuki and Kaori Ide and Noriko Yumoto and Takeshi Nagashima and Mariko Hatakeyama",

year = "2007",

month = dec,

day = "1",

doi = "10.1109/GENSIPS.2007.4365841",

language = "English",

isbn = "1424409993",

series = "GENSIPS'07 - 5th IEEE International Workshop on Genomic Signal Processing and Statistics",

booktitle = "5th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'07",

note = "5th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'07 ; Conference date: 10-06-2007 Through 12-06-2007",

}

TY - GEN

T1 - In silico simulation of epidermal growth factor signaling in prostate cancer cells

AU - Nakakuki, Takashi

AU - Ide, Kaori

AU - Yumoto, Noriko

AU - Nagashima, Takeshi

AU - Hatakeyama, Mariko

PY - 2007/12/1

Y1 - 2007/12/1

N2 - The epidermal growth factor receptor (EGFR) and its signaling pathways are closely involved in the development and progression of prostate cancer. To understand the EGF-stimulated signaling pathways in prostate cancer cells, we constructed a mathematical model of EGF receptor signaling in PC3 cells based on the experimental data. The model was described by twenty-seven ordinary differential equations, and all parameters were estimated by genetic algorithm. The validity of the model was confirmed with time-course western blot data, showing that the model could successfully reproduce all experimental results.

AB - The epidermal growth factor receptor (EGFR) and its signaling pathways are closely involved in the development and progression of prostate cancer. To understand the EGF-stimulated signaling pathways in prostate cancer cells, we constructed a mathematical model of EGF receptor signaling in PC3 cells based on the experimental data. The model was described by twenty-seven ordinary differential equations, and all parameters were estimated by genetic algorithm. The validity of the model was confirmed with time-course western blot data, showing that the model could successfully reproduce all experimental results.

UR - http://www.scopus.com/inward/record.url?scp=47049086814&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=47049086814&partnerID=8YFLogxK

U2 - 10.1109/GENSIPS.2007.4365841

DO - 10.1109/GENSIPS.2007.4365841

M3 - Conference contribution

AN - SCOPUS:47049086814

SN - 1424409993

SN - 9781424409990

T3 - GENSIPS'07 - 5th IEEE International Workshop on Genomic Signal Processing and Statistics

BT - 5th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'07

T2 - 5th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'07

Y2 - 10 June 2007 through 12 June 2007

ER -

In silico simulation of epidermal growth factor signaling in prostate cancer cells

Abstract

Publication series

Other

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this